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肖标's Projects

models icon models

Models and examples built with TensorFlow

movie_recommender icon movie_recommender

MovieLens based recommender system.使用MovieLens数据集训练的电影推荐系统。

nlp-journey icon nlp-journey

nlp相关的一些论文及代码, 包括LDA主题模型、词向量(Word Embedding)、命名实体识别(NER)、文本分类(Text Classificatin)、文本生成、文本相似性(Text Similarity)计算等，基于keras和tensorflow

nlp-lang icon nlp-lang

这个项目是一个基本包.封装了大多数nlp项目中常用工具

nlp-public-dataset icon nlp-public-dataset

Chinese, English NER, English-Chinese machine translation dataset. 中英文实体识别数据集，中英文机器翻译数据集, 中文分词数据集

nlp-tutorial icon nlp-tutorial

Natural Language Processing Tutorial for Deep Learning Researchers

nlp_xiaojiang icon nlp_xiaojiang

自然语言处理（nlp），闲聊机器人（chatbot），BERT句向量-相似度（Sentence Similarity），文本分类（Text classify）， 实体提取（ner，bert+bilstm+crf），数据增强（text augment enhance），同义句同义词生成，句子主干提取（mainpart），中文汉语短文本相似度，文本特征工程，keras-http-service调用

nndl icon nndl

Another Chinese Translation of Neural Networks and Deep Learning

paddle icon paddle

PArallel Distributed Deep LEarning: Machine Learning Framework from Industrial Practice （『飞桨』核心框架，深度学习&机器学习高性能单机、分布式训练和跨平台部署）

paper-reading icon paper-reading

Paper reading list in natural language processing, including dialogue system, text summarization, topic modeling, etc.

pdf icon pdf

编程电子书，电子书，编程书籍，包括C，C#，Docker，Elasticsearch，Git，Hadoop，HeadFirst，Java，Javascript，jvm，Kafka，Linux，Maven，MongoDB，MyBatis，MySQL，Netty，Nginx，Python，RabbitMQ，Redis，Scala，Solr，Spark，Spring，SpringBoot，SpringCloud，TCPIP，Tomcat，Zookeeper，人工智能，大数据类，并发编程，数据库类，数据挖掘，新面试题，架构设计，算法系列，计算机类，设计模式，软件测试，重构优化，等更多分类

prml icon prml

PRML algorithms implemented in Python

python-cookbook icon python-cookbook

Code samples from the "Python Cookbook, 3rd Edition", published by O'Reilly & Associates, May, 2013.

pytorch-handbook icon pytorch-handbook

pytorch handbook是一本开源的书籍，目标是帮助那些希望和使用PyTorch进行深度学习开发和研究的朋友快速入门，其中包含的Pytorch教程全部通过测试保证可以成功运行

qa-survey icon qa-survey

北航大数据高精尖中心研究张日崇团队对问答系统的调研。包括知识图谱问答系统（KBQA）和文本问答系统（TextQA），每类系统分别对学术界和工业界进行调研。

qasystemonmedicalkg icon qasystemonmedicalkg

A tutorial and implement of disease centered Medical knowledge graph and qa system based on it。知识图谱构建，自动问答，基于kg的自动问答。以疾病为中心的一定规模医药领域知识图谱，并以该知识图谱完成自动问答与分析服务。

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